tomwallis / glm-intro
A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
☆27Updated 9 years ago
Alternatives and similar repositories for glm-intro:
Users that are interested in glm-intro are comparing it to the libraries listed below
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- Implementation of Phase Coupling Estimation in Python and Matlab (see http://arxiv.org/abs/0906.3844 )☆16Updated 11 years ago
- Information Theoretic Tools for Python☆92Updated 5 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- A translation of Kendrick's MATLAB statistics class materials into Python☆39Updated 12 years ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆72Updated 2 years ago
- permutation tests and confidence sets☆58Updated last year
- ☆155Updated 5 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- Python Time Series Analysis (PTSA, pronounced "pizza")☆41Updated 7 years ago
- My PhD Thesis☆22Updated 8 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Course materials for the SSI 2016 course "Intro to Data Science in Python"☆30Updated 8 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- autoregressive plugin☆27Updated 2 years ago
- Calculate phase-amplitude coupling in Python (and Matlab).☆24Updated 7 years ago
- PTSA - Python Time Series Analysis☆22Updated 10 months ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- ☆13Updated 6 years ago
- Bayesian estimation supersedes the t test☆145Updated 3 years ago
- Bayesian Psychometric Curve Fitting Tool☆45Updated 3 months ago
- rERPy is a Python library for doing ERP/ERF and rERP/rERF analysis of brainwaves☆14Updated 11 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆126Updated 4 years ago
- Cortex - Deep learning tools for neuroimaging☆31Updated 7 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- 🔋 Utilities for scientific python☆19Updated 8 months ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago